Alpine ice sheet glacial cycle simulations continuous variables

• Main Author: Julien Seguinot
• Other Authors: Susan Ivy-Ochs, Guillaume Jouvet, Matthias Huss, Martin Funk, Frank Preusser
• Format: Other/Unknown Material
• Language: English
• Published: Zenodo 2020
• Subjects: alps; glacier; ice sheet; modelling; EPICA; ice core; Ice Sheet
• Online Access: https://doi.org/10.5281/zenodo.3604142

These data contain a subset of time-dependent glacier model output variables. Reference: Seguinot, J., Ivy-Ochs, S., Jouvet, G., Huss, M., Funk, M., and Preusser, F.: Modelling last glacial cycle ice dynamics in the Alps, The Cryosphere , 12, 3265-3285, doi: 10.5194/tc-12-3265-2018 , 2018. File names: <code>alpcyc.{1km|2km}.{epic|grip|md01}.{cp|pp}.{ex.1ka|ts.10a}.nc</code> Horizontal resolution: 1km : 1 km horizontal resolution 2km : 2 km horizontal resolution Temperature forcing: epic : EPICA ice core temperature forcing grip : GRIP ice core temperature forcing md01 : MD01-2444 core temperature forcing Precipitation forcing: cp : constant precipitation pp : palaeo-precipitation reduction Variable types: ex.1ka: spatial diagnostics every thousand years ts.10a: scalar time-series every ten years Data format: The data use compressed netCDF format. For quick inspection I recommend ncview. Spatial diagnostics ( *.ex.1ka.nc ) can be converted to GeoTIFF (and other GIS formats) e.g. using GDAL: <code>gdal_translate NETCDF:filename.nc:variable -b band filename.variable.band.tif</code> The list of variables (subdatasets) can be obtained from ncdump or gdalinfo. The band number equals 120 minus the age in ka. Band information can be displayed with: <code>gdalinfo NETCDF:filename.nc:variable</code> Variable long names, units, PISM configuration parametres and additional information are contained within the netCDF metadata. Also see aggregated variables. Changelog: Version 2: Add age coordinate in kiloyears (ka) before present. Replace NCO by Xarray workflow (no effect on the results). Version 1: Initial version. This work was supported by the Swiss National Science Foundation (SNSF) grants 200020-169558 and 200021-153179/1, and the Swiss National Supercomputing Centre (CSCS) grants s573 and sm13.